Senior Machine Learning Engineer - Localization

Job description

Job responsibilities

• Design, develop, and deploy production ML models for ego-motion estimation and localization, including learned pose estimation, sensor extrinsic calibration, map matching, and sensor fusion using camera, LiDAR, radar,…
• Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets.
• Design and improve state estimation and sensor fusion algorithms for robust vehicle pose, velocity, and acceleration estimation.
• Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements.
• Develop robust, efficient production software in modern C++ and Python across the full development lifecycle.
• Define evaluation, verification, and validation strategies to ensure localization quality, robustness, and safety across diverse operating conditions.
• Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints.
• Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities.